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Advances in Meteorology
Volume 2014, Article ID 704151, 12 pages
Research Article

Projecting Future Climate Change Scenarios Using Three Bias-Correction Methods

1Department of Regional Infrastructure Engineering, Kangwon National University, Chuncheon, Gangwon 200-701, Republic of Korea
2National Institute of Environmental Research, Incheon 404-708, Republic of Korea
3Department of Biological Environment, Kangwon National University, Chuncheon, Gangwon 200-701, Republic of Korea
4Department of Civil & Environmental System Engineering, Konkuk University, Seoul 143-701, Republic of Korea
5Department of Life Science, Kyonggi University, Suwon 443-760, Republic of Korea

Received 22 August 2014; Revised 8 November 2014; Accepted 25 November 2014; Published 14 December 2014

Academic Editor: Klaus Dethloff

Copyright © 2014 Donghyuk Kum et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We performed bias correction in future climate change scenarios to provide better accuracy of models through adaptation to future climate change. The proposed combination of the change factor (CF) and quantile mapping (QM) methods combines the individual advantages of both methods for adjusting the bias in global circulation models (GCMs) and regional circulation models (RCMs). We selected a study site in Songwol-dong, Seoul, Republic of Korea, to test and assess our proposed method. Our results show that the combined CF + QM method delivers better performance in terms of correcting the bias in GCMs/RCMs than when both methods are applied individually. In particular, our proposed method considerably improved the bias-corrected precipitation by capturing both the high peaks and amounts of precipitation as compared to that from the CF-only and QM-only methods. Thus, our proposed method can provide high-accuracy bias-corrected precipitation data, which could prove to be highly useful in interdisciplinary studies across the world.